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Priya #94

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Priya Assignment1
priyarn Aug 24, 2020
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364 changes: 364 additions & 0 deletions Assignment1 Numpy.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Assignment"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Make a python list => \\[1,2,3,4,5\\]\n",
"\n",
"Convert it into numpy array and print it"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[1, 2, 3, 4, 5]])"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy\n",
"list=[1,2,3,4,5]\n",
"a=np.array([list])\n",
"a"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Make a python matrix (3 x 3) => \\[[1,2,3],[4,5,6],[7,8,9]\\]\n",
"\n",
"Convert it into numpy array and print it"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[1, 2, 3],\n",
" [4, 5, 6],\n",
" [7, 8, 9]])"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"matrix1=[[1,2,3],[4,5,6],[7,8,9]]\n",
"np.array(matrix1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Make a matrix (3 x 3) using built-in methods (like arange(), reshape() etc.):\n",
"\n",
"\\[ [1,3,5],\n",
"\n",
" [7,9,11],\n",
" \n",
" [13,15,17] \\]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 1, 3, 5],\n",
" [ 7, 9, 11],\n",
" [13, 15, 17]])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a=np.arange(1,18,2)\n",
"a.reshape(3,3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a numpy array with 10 random numbers from 0 to 10 (there should be few numbers greater than 1)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([2, 9, 3, 4, 2, 8, 3, 2, 0, 6])"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.random.randint(0,10,10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create numpy array => \\[1,2,3,4,5\\] and convert it to 2D array with 5 rows"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[1],\n",
" [2],\n",
" [3],\n",
" [4],\n",
" [5]])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"a=np.array([1,2,3,4,5])\n",
"\n",
"a.reshape(5,1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print the shape of the above created array"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(5,)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a numpy array with 10 elements in it. Access and print its 3rd, 4th and 9th element."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 1 2 3 4 5 6 7 8 9 10]\n",
"3\n",
"4\n",
"9\n"
]
}
],
"source": [
"a1=np.arange(1,11)\n",
"print(a1)\n",
"print(a1[2])\n",
"print(a1[3])\n",
"print(a1[8])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print alternate elements of that array"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1 3 5 7 9]\n"
]
}
],
"source": [
"print(a1[0:10:2])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Change last 3 elements into 100 using broadcasting and print"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 1, 2, 3, 4, 5, 6, 7, 100, 100, 100])"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a1[7:10]=100\n",
"a1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a 5 x 5 matrix (fill it with any element you like), print it.\n",
"\n",
"Then print the middle (3 x 3) matrix."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 1 2 3 4 5]\n",
" [ 6 7 8 9 10]\n",
" [11 12 13 14 15]\n",
" [16 17 18 19 20]\n",
" [21 22 23 24 25]]\n"
]
},
{
"data": {
"text/plain": [
"array([[ 7, 8, 9],\n",
" [12, 13, 14],\n",
" [17, 18, 19]])"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a1=np.arange(1,26)\n",
"a2=a1.reshape(5,5)\n",
"print(a2)\n",
"a2[1:4,1:4]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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